ExPosition: pickSVD – R documentation

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pickSVD

Pick which generalized SVD (or related) decomposition to use.

Description

This function is an interface for the user to a general SVD or related decomposition. It provides direct access to svd and eigen. Future decompositions will be available.

Usage

pickSVD(datain, is.mds = FALSE, decomp.approach = "svd", k = 0)

Arguments

`datain`	a data matrix to decompose.
`is.mds`	a boolean. TRUE for a MDS decomposition.
`decomp.approach`	a string. 'svd' for singular value decomposition, 'eigen' for an eigendecomposition. All approaches provide identical output. Some approaches are (in some cases) faster than others.
`k`	numeric. The number of components to return.

Value

A list with the following items:

`u`	Left singular vectors (rows)
`v`	Right singular vectors (columns)
`d`	Singular values
`tau`	Explained variance per component

Author(s)

Derek Beaton

ExPosition

Exploratory Analysis with the Singular Value Decomposition

v2.8.23

GPL-2

Authors

Derek Beaton, Cherise R. Chin Fatt, Herve Abdi

Initial release

2018-12-27